code: def load_data(
      self,
      file: Optional[str],
      categorical_fields: Optional[Union[str, List[str]]] = None,
      numerical_fields: Optional[Union[str, List[str]]] = None,
      target_field: Optional[str] = None,
      parameters: Dict[str, Any] = None,
  ):
      if file is not None:
          return super().load_data(
              load_data_frame(file),
              categorical_fields,
              numerical_fields,
              target_field,
              parameters,
          )
      return None
  
file_path: lightning-flash/src/flash/tabular/regression/input.py
imports: from typing import Any, Dict, List, Optional, Union
  import numpy
  from flash.core.data.io.input import DataKeys
  from flash.core.data.utilities.loading import load_data_frame
  from flash.core.utilities.imports import _PANDAS_AVAILABLE
  from flash.tabular.input import TabularDataFrameInput
label_desc: Use image node_id 1 for calling the TabularRegressionCSVInput obj's underlying member method code with example usage: obj.load_data(file, categorical_fields, numerical_fields, target_field, parameters) and returns: None, super